Hi everyone! I'm pleased to announce the release of Apache PyIceberg 0.4.0!
Apache Iceberg is an open table format for huge analytic datasets. Iceberg delivers high query performance for tables with tens of petabytes of data, along with atomic commits, concurrent writes, and SQL-compatible table evolution. PyIceberg is an implementation to read from these datasets. Major features of 0.4.0: - Support for converting Parquet schemas into Iceberg ones <https://github.com/apache/iceberg/pull/6997> - Support for reading data using FSSpec <https://github.com/apache/iceberg/pull/6972>. - Support fetching a limited number of rows <https://github.com/apache/iceberg/pull/7163> to quickly peek into a dataset. - Reduced the number of calls <https://github.com/apache/iceberg/pull/7588> to the object store with PyArrow>=12.0.0. - Speed up queries using the Iceberg metrics. <https://github.com/apache/iceberg/pull/6714> - Ability to do SQL style filters <https://github.com/apache/iceberg/pull/6657>: row_filter='passengers >= 3'. - SigV4 support <https://github.com/apache/iceberg/pull/7519> for the REST catalog. - A complete makeover <https://github.com/apache/iceberg/pull/7108> of the docs site. - Support for positional deletes <https://github.com/apache/iceberg/pull/6775>. - Ability to set table properties <https://github.com/apache/iceberg/pull/6323>. - And many bugs have been fixed <https://github.com/apache/iceberg/pulls?q=is%3Apr+label%3Apython+is%3Aclosed> ! The PyIceberg release can be downloaded from: https://pypi.org/project/pyiceberg/0.4.0/ And the docs makeover can be seen here: https://py.iceberg.apache.org/ <https://py.iceberg.apache.org/>😍 <https://emojipedia.org/emoji/%F0%9F%98%8D/> Thanks to everyone for contributing, and looking forward to 0.5.0! Kind regards, Fokko
